Results 201 to 210 of about 56,172 (268)

Empirische Studien zu den Auswirkungen des IFRS 16

Die bisherige Leasingbilanzierungsrichtlinie IAS 17 wurde zum 01.01.2019 durch den IFRS 16 abgelöst. Damit sind Leasingnehmer zur Bilanzierung aller Leasingverhältnisse verpflichtet. Die vorliegende Dissertation, bestehend aus vier empirischen Studien, begleitet die Einführungsprozesse der Leasingnehmer im Zuge der Erstanwendung des neuen Standards ...
openaire   +1 more source

Nationwide estimates of SARS-CoV-2 infection fatality rates and numbers needed to vaccinate for SARS-CoV-2 vaccines in 2024 in Austria

Riedmann U, Sprenger M, Ioannidis JP, Pilz S.   +3 more
europepmc   +1 more source

Empirically assessing corporate adaptation and resilience disclosure using AI. [PDF]

NPJ Clim Action
Spacey Martín R, Ranger N, Schimanski T, Leippold M.   +3 more
europepmc   +1 more source

Multi-criteria decision support models under fuzzy credibility rough numbers and their application in green supply selection. [PDF]

Heliyon
Yahya M, Abdullah S, Khan F, Safeen K, Ali R.   +4 more
europepmc   +1 more source

PROBLEM ISSUES IN ACCOUNTING LEASES UNDER IFRS 16

Scientific Notes of Taurida National V.I. Vernadsky University. Series: Economy and Management, 2020
openaire   +1 more source

Health inequalities in access to keloid scar surgery: An analysis of funding criteria and their impact across England. [PDF]

JPRAS Open
Richardson H, Basnet S, Rad D, Vijayan R.   +3 more
europepmc   +1 more source

Engaging stakeholders, shaping AI ethics: Targeted engagement in corporate AI ethics statements. [PDF]

PLoS One
Ye M, Friginal E.
europepmc   +1 more source

Patient, family and clinician priorities for critical care research in Asia and Africa: a James Lind Alliance Priority Setting Partnership using modified Delphi and nominal group techniques. [PDF]

BMJ Glob Health
CCAA Priority Setting Partnership Steering group, Abonyo TT, Arfin S, Aryal D, Beane A, Borellini M, Dondorp AM, Donley E, Gautam P, Gooden TE, Gronlund T, Haniffa R, Hashmi M, Kavlekar P, Kodippily C, Limbani F, Madhav S, Martha A, Mohamad F, Nayak S, Nayeem A, Pisani L, Sendagire C, Shakya R, Siddiqui A, Tirupakuzhi Vijayaraghavan BK.   +25 more
europepmc   +1 more source

KoTaP: A Panel Dataset for Corporate Tax Avoidance, Performance, and Governance in Korea. [PDF]

Sci Data
Na H, Song W, Han S, Jo D, Myung S, Kim H.   +5 more
europepmc   +1 more source